A Heuristic Method for Simplified Resource Allocation based on Comparative Advantage in Wireless Access Systems

TL;DR

This paper introduces a heuristic resource allocation method based on comparative advantage, significantly reducing computational complexity in wireless access systems while maintaining near-optimal performance, demonstrated through PD-NOMA examples.

Contribution

A novel heuristic approach leveraging comparative advantage to simplify resource allocation, reducing search space by half and improving scalability in wireless networks.

Findings

Reduces computational overhead in resource allocation.

Maintains near-optimal spectrum utilization.

Validated through extensive simulations.

Abstract

This paper presents a heuristic method for simplifying resource allocation in access systems, leveraging the concept of comparative advantage to reduce computational complexity while maintaining near-optimal performance. Using power-division non-orthogonal multiple access (PD-NOMA) as an example, we demonstrate how this approach mitigates the challenge of power allocation in multi-cell networks. Our method reduces the search space for optimization, significantly decreasing computational overhead while ensuring efficient spectrum utilization. In principle, the method reduces the dimensions of search space by half. Extensive analysis and simulations validate its effectiveness, highlighting its potential for practical deployment in next-generation wireless networks. The proposed framework can help streamline resource allocation in complex communication environments, enhancing system performance and scalability.